Reporting to the Head of IT and guided by a team of experts, this newly created Data Engineer position has been introduced to enhance customer experience and drive efficiency through data. Experience in data engineering is a must, as is experience with SQL, ETL, data modelling, Python, PySpark and Azure, so if that sounds like you, please do get in touch What’s in it for you? Work hours: Monday to Friday: 9am to 5pm Salary: £50,000 - £60,000 28 Days Holiday Birthday Off BUPA Healthcare Matched Pension Contribution Monthly Half Day Off for Wellbeing Data Engineer Responsibilities: Design and implement robust data pipelines and systems that can scale alongside the business Support the business through business intelligence and analytics by building and maintaining data models Use Azure to compose and manage data workflows Extract and transform data using SQL / PySpark Write and maintain code in Python and PySpark Collaborate with Analysts and Data Scientists to understand data requirements Deliver data solutions, using your nose for data to perform analysis and troubleshoot data-related issues Data Engineer Skills and Experience: Experience gained as a Data Engineer/Data Analyst Holds a degree in Computer Science or IT would be advantageous Proficient in SQL and data modelling and possesses strong Python and PySpark skills Experience within Azure Data Factory and Microsoft Fabric would be an advantage Detail-orientated and meticulous, combined with strong problem-solving skills